I started using streamlit locally few months ago and I absolutely love it - thank you for developing this amazing tool.
Next step for me is to deploy it, apologies for newbie questions but I never deployed anything online…
Anyway I can see that long story short via github we upload code and essential files and then script is executed online, for most of the applications I can see script is using uploaded data or user input (i.e. for all AI aps).
Now, what can I do if I need to update in real-time dataset which is used by streamlit app?
To give you an example I want to create streamlit app which displays information on stocks and their technical indicators in real time. Locally it’s easy as I just read the database saved and updated locally (database is being updated with another python script every second), but how do I do it for online version?
If you can just point me to the right direction , i.e. is it possible to update files in github in real time and then streamlit app would use always “new dataset”?
Any other ideas or methods how to do it?
(PS: I don’t want streamlit to get the data on its own as it’s too much and it would be too slow).